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Photon counting 3D imaging lidar adaptive target contours acquiring method
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Paper Abstract

The traditional scanning method of photon counting three-dimensional (3D) imaging is point-by-point sampling. According to the quadtree block method, an adaptive contour extraction method used in 3D time-concerned-single-photon-counting (TCSPC) lidar is proposed. The adaption of method is showing as followed. When an unknown target area is sampled, the size of scanning step varies according to the surface continuity of the target area. The scanning method applied in this paper scans the unknown target area with non-uniform steps and then reconstructs the target image according to the difference of surface continuity. The experimental results show that the sampling method in this paper can effectively reduce the number of samples in the unknown target area while ensuring the details of the target contour, thus improving the imaging efficiency.

Paper Details

Date Published: 9 August 2018
PDF: 9 pages
Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 108063M (9 August 2018); doi: 10.1117/12.2503069
Show Author Affiliations
Jimin Tang, Nanjing Univ. of Science and Technology (China)
Weiji He, Nanjing Univ. of Science and Technology (China)
Guohua Gu, Nanjing Univ. of Science and Technology (China)
Qian Chen, Nanjing Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 10806:
Tenth International Conference on Digital Image Processing (ICDIP 2018)
Xudong Jiang; Jenq-Neng Hwang, Editor(s)

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